Triple
T797077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crafoord Prize |
E17046
|
entity |
| Predicate | rotationPattern |
P13372
|
FINISHED |
| Object | disciplines are awarded in a rotating scheme |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: disciplines are awarded in a rotating scheme | Statement: [Crafoord Prize, rotationPattern, disciplines are awarded in a rotating scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rotationPattern Context triple: [Crafoord Prize, rotationPattern, disciplines are awarded in a rotating scheme]
-
A.
rotationType
Indicates the specific kind or mode of rotational movement or orientation applied in a given context.
-
B.
rotatesAmong
chosen
Indicates that an entity takes turns occupying or performing a role, position, or function in sequence with other entities.
-
C.
pattern
Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
-
D.
kitPattern
Indicates the design or visual pattern featured on a team's kit or uniform.
-
E.
rotatingLocation
Indicates that an entity is rotating around, or undergoing rotational motion at, a specified location or point in space.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b342888190a344fe81a2c9f33c |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a5122a008190b0c621b7bc588d41 |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:38 p.m.